SeekStorm/SeekStorm
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust. observed · 2026-08-28
Health v2 · maintenance only
88/100
- Activity 99
- Release rhythm 87
- Longevity 65
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 3.5
- age_days: 918
- days_rel: 10
- days_push: 10
- n_releases_24m: 87
Adoption not part of the score
1908 stars · 68 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
SeekStorm is a sub-millisecond vector and lexical search engine written in Rust, available both as an in-process library and a multi-tenancy search server with a REST API. It supports true real-time indexing, hybrid search, faceting, spelling correction, and instant search at web scale.
Use cases
- add full-text search to my application
- hybrid vector and keyword search engine
- self-hosted search as a service
- build instant search with autocomplete and spelling correction
- multi-tenant search server for many customers
- real-time search over millions of documents
- embed a fast search engine in a Rust application
- semantic search with dense and sparse retrieval
When to choose
- you need sub-millisecond, true real-time search with zero soft-commit delays
- you want both vector (dense) and lexical (BM25) search in one engine
- you need multi-tenancy and web-scale indexing with low RAM/disk footprint
- you prefer an embeddable in-process Rust library instead of running a separate service
- you want instant search with fast spelling correction and query completion
When to avoid
- your project is built in a language without Rust or Python client support
- you need a mature ecosystem with extensive third-party plugins and integrations
- you only need simple search over a small dataset where SQLite or a basic solution suffices
- you require long-term stability guarantees - the project is still a work in progress
Facets
library · maturity active
search-engine vector-database http-server http-client api-framework databases artificial-intelligence developer-tools apis rust python self-hosted cross-platform full-text-search bm25 hybrid-search semantic-search multi-tenancy faceting geosearch instant-search spelling-correction real-time-indexing search-as-a-service rest-api search docker web-server
6 sources
- readme: https://github.com/SeekStorm/SeekStorm · fetched 2026-08-28 · 83fe0494e25f
- homepage: https://seekstorm.com · fetched 2026-08-29 · e106d088cb91
- site_page: https://seekstorm.com/docs · fetched 2026-08-29 · 140f9b2041aa
- site_page: https://seekstorm.com/getting-started · fetched 2026-08-29 · ccaec8e9ce85
- site_page: https://seekstorm.com/search-api-features · fetched 2026-08-29 · 5f7061ace3d9
- registry_crates: https://crates.io/api/v1/crates/seekstorm · fetched 2026-08-29 · 9c086fd9c6ed
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| SeekStorm/SeekStorm | main | 88 |
For agents
markdown · JSON · MCP: product_card(name="SeekStorm/SeekStorm")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem